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Statistical parametric speech synthesis using deep neural networks

2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013, p.7962-7966

2013

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Deep mixture density networks for acoustic modeling in statistical parametric speech synthesis

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014, p.3844-3848

2014

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Generating Diverse and Natural Text-to-Speech Samples Using a Quantized Fine-Grained VAE and Autoregressive Prosody Prior

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, p.6699-6703

2020

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Directly modeling voiced and unvoiced components in speech waveforms by neural networks

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016, p.5640-5644

2016

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Details of the Nitech HMM-Based Speech Synthesis System for the Blizzard Challenge 2005

IEICE transactions on information and systems, 2007-01, Vol.E90-D (1), p.325-333

2007

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Reformulating the HMM as a trajectory model by imposing explicit relationships between static and dynamic feature vector sequences

Computer speech & language, 2007, Vol.21 (1), p.153-173

2007

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Extracting representative subset from extensive text data for training pre-trained language models

Information processing & management, 2023-05, Vol.60 (3), p.103249, Article 103249

2023

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Statistical parametric speech synthesis

Speech communication, 2009-11, Vol.51 (11), p.1039-1064

2009

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Progress and frontier of text-to-speech synthesis technology

THE JOURNAL OF THE ACOUSTICAL SOCIETY OF JAPAN, 2018/07/01, Vol.74(7), pp.387-393

Zen, Heiga

2018

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A Covariance-Tying Technique for HMM-Based Speech Synthesis

IEICE Transactions on Information and Systems, 2010/03/01, Vol.E93.D(3), pp.595-601

2010

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A Bayesian approach to HMM-based speech synthesis

2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009, p.4029-4032

2009

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Performance evaluation of the speaker-independent HMM-based speech synthesis system "HTS 2007" for the Blizzard Challenge 2007

2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 2008, p.3957-3960

2008

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Decision tree-based context clustering based on cross validation and hierarchical priors

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011, p.4560-4563

2011

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Translatotron 3: Speech to Speech Translation with Monolingual Data

ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024, p.10686-10690

2024

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Extending Multilingual Speech Synthesis to 100+ Languages without Transcribed Data

ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024, p.11546-11550

2024

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Virtuoso: Massive Multilingual Speech-Text Joint Semi-Supervised Learning for Text-to-Speech

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023, p.1-5

2023

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Statistical parametric speech synthesis based on product of experts

2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010, p.4242-4245

2010

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Deterministic Annealing EM Algorithm in Acoustic Modeling for Speaker and Speech Recognition

IEICE transactions on information and systems, 2005-03, Vol.E88-D (3), p.425-431

ITAYA, Y.

2005

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Statistical Parametric Speech Synthesis

2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07, 2007, Vol.4, p.IV-1229-IV-1232

2007

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State Duration Modeling for HMM-Based Speech Synthesis

IEICE transactions on information and systems, 2007-03, Vol.E90-D (3), p.692-693

2007

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テキスト音声合成技術の変遷と最先端

日本音響学会誌, 2018/07/01, Vol.74(7), pp.387-393

全, 炳河

2018

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Continuous Speech Recognition Based on General Factor Dependent Acoustic Models

IEICE transactions on information and systems, 2005-03, Vol.E88-D (3), p.410-417

SUZUKI, H.

2005

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A Hidden Semi-Markov Model-Based Speech Synthesis System

IEICE transactions on information and systems, 2007-05, Vol.E90-D (5), p.825-834

2007

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[Invited] Generative Model-Based Text-to-Speech Synthesis

2018 IEEE 7th Global Conference on Consumer Electronics (GCCE), 2018, p.327-328

Zen, Heiga

2018

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Speech Synthesis Based on Hidden Markov Models: SPEECH INFORMATION PROCESSING: THEORY AND APPLICATIONS

Proceedings of the IEEE, 2013, Vol.101 (5), p.1234-1252

2013

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Statistical parametric speech synthesis using deep neural networks

Deep mixture density networks for acoustic modeling in statistical parametric speech synthesis

Generating Diverse and Natural Text-to-Speech Samples Using a Quantized Fine-Grained VAE and Autoregressive Prosody Prior

Directly modeling voiced and unvoiced components in speech waveforms by neural networks

Details of the Nitech HMM-Based Speech Synthesis System for the Blizzard Challenge 2005

Reformulating the HMM as a trajectory model by imposing explicit relationships between static and dynamic feature vector sequences

Extracting representative subset from extensive text data for training pre-trained language models

Statistical parametric speech synthesis

Progress and frontier of text-to-speech synthesis technology

A Covariance-Tying Technique for HMM-Based Speech Synthesis

A Bayesian approach to HMM-based speech synthesis

Performance evaluation of the speaker-independent HMM-based speech synthesis system "HTS 2007" for the Blizzard Challenge 2007

Decision tree-based context clustering based on cross validation and hierarchical priors

Translatotron 3: Speech to Speech Translation with Monolingual Data

Extending Multilingual Speech Synthesis to 100+ Languages without Transcribed Data

Virtuoso: Massive Multilingual Speech-Text Joint Semi-Supervised Learning for Text-to-Speech

Statistical parametric speech synthesis based on product of experts

Deterministic Annealing EM Algorithm in Acoustic Modeling for Speaker and Speech Recognition

Statistical Parametric Speech Synthesis

State Duration Modeling for HMM-Based Speech Synthesis

テキスト音声合成技術の変遷と最先端

Continuous Speech Recognition Based on General Factor Dependent Acoustic Models

A Hidden Semi-Markov Model-Based Speech Synthesis System

[Invited] Generative Model-Based Text-to-Speech Synthesis

Speech Synthesis Based on Hidden Markov Models: SPEECH INFORMATION PROCESSING: THEORY AND APPLICATIONS

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